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Analysis of sensory and instrumental data on apricot purées with pattern recognition techniques

✍ Scribed by G. Parolari; R. Virgili; L. Bolzoni; M. Careri; A. Mangia


Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
637 KB
Volume
259
Category
Article
ISSN
0003-2670

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✦ Synopsis


Ahstract

The correlation between sensory data and analytical parameters was studied usmg mdustnally produced apricot pur6es The samples were characterized through different analytical parameters Sensory evaluations were performed by a tramed panel with respect to sweet, bitter, acid and whole taste The correlation between sensory and analytlcal data was studied usmg the partml least-squares regressIon method Gas chromatographlc data regardmg the volatde components were prehmmary analysed by pnnclpal component analysis m order to select relevant, non-redundant compounds to be subnutted to the regresslon analysis Three slgmficant relatlonshlps were obtained for sweet taste and two for acid taste, resultmg m reductions of 41 1 and 30% m the X-block vanance, respectwely


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